cobblepot
ZenithTA
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cobblepot
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Starting a CLI Finance Tool
Github Repo
ZenithTA
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Easiest way to get a pandas dataframe from python to rust?
I have a technical analysis library written for Python using Rust and PyO3 called ZenithTA. A typical Dataframe for a stock has four columns: open, high, low, and close. Currently, I am converting each of the rows into lists to pass into Rust. It would be way easier if the end user could just pass in the dataframe, and I could just manipulate it in Rust. Does anyone have any tips or advice for doing this?
What are some alternatives?
beancount - Beancount: Double-Entry Accounting from Text Files.
lazerpay-rust-sdk - Lazerpay SDK for Rust 🦀
tsdownsample - High-performance time series downsampling algorithms for visualization
pyo3-polars - Pyo3 extensions for polars
tendie-factory - Tendie-Factory is a work in progress application that seeks to track the stocks mentioned in the wallstreetbets subreddit.
Panther - A high performance python technical analysis library written in Rust and the Numpy C API. [Moved to: https://github.com/gregyjames/ZenithTA]
FinNLP-Progress - NLP progress in Fintech. A repository to track the progress in Natural Language Processing (NLP) related to the domain of Finance, including the datasets, papers, and current state-of-the-art results for the most popular tasks.
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust